Welcome to your [QCPName] Quality Control Analysis Report! We are pleased to present to you a visual QC summary of your dataset. Representing high-dimensional omics data using plots helps us view large amounts of information at once to identifying patterns and trends across your samples and datasets. The "[QCP Name]" package monitors metrics based on the input datasets provided. For any concerns about or suggestions to improve this report, let the team know at GroupHeartBioinformaticsSupport@cshs.org, and we will consider your feedback. We are happy to support your computational needs.
The report is divided into 2 tabs:
The following metrics have been calculated and derived from the input search results that were provided. Given input thresholds have been applied and if grouping file was provided, groupwise comparison has also been performed.
Number of proteins identified from each sample. Any sample not meeting the threshold could indicate an issue within sample preparation or digestion protocols.
Number of precursors identified from each sample. Any sample not meeting the threshold could indicate an issue within sample preparation or digestion protocols.
Cumulative Frequency % of calculated CV% across all samples